Research experience of big data analytics: The tools for government - A case using social network in mining preferences of tourists

Luo Peipeng, Rita Tse Tan Sim

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

This research analyzes messages from Sina Weibo and extracts preferences of tourists using data mining tools. The data mining process, presented in this report, illustrates a good approach for the government in mining information and knowledge from the social network. Discovering association rules is one of the most important tasks in data mining. In this report, Apriori algorithm is used to find the association rules among keywords within topics resulting from the Topic Modeling Algorithm - LDA model. The results and further analysis of data collected from the social network can be used to help the government in Macao and Hong Kong to learn more about their tourists for their policy making in support of the tourism industry.

原文English
主出版物標題ICEGOV 2014 - 8th International Conference on Theory and Practice of Electronic Governance - Proceedings
編輯Elsa Estevez, Marijn Janssen, Luis Soares Barbosa
發行者Association for Computing Machinery
頁面312-315
頁數4
ISBN(電子)9781605586113
DOIs
出版狀態Published - 27 10月 2014
事件8th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2014 - Guimaraes, Portugal
持續時間: 27 10月 201430 10月 2014

出版系列

名字ACM International Conference Proceeding Series
2014-January

Conference

Conference8th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2014
國家/地區Portugal
城市Guimaraes
期間27/10/1430/10/14

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